Pandas Profiling Report

Dataset statistics

Number of variables	20
Number of observations	57
Missing cells	23
Missing cells (%)	2.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	9.0 KiB
Average record size in memory	162.2 B

Variable types

Categorical	6
Numeric	14

Alerts

`Country` has a high cardinality: 57 distinct values	High cardinality
`Skrót` has a high cardinality: 57 distinct values	High cardinality
`New_business_density` is highly correlated with `Corruption`	High correlation
`PDI` is highly correlated with `IDV` and 4 other fields	High correlation
`IDV` is highly correlated with `PDI` and 4 other fields	High correlation
`LTO` is highly correlated with `IVR`	High correlation
`IVR` is highly correlated with `LTO` and 2 other fields	High correlation
`Urban_population` is highly correlated with `PDI` and 3 other fields	High correlation
`Alcohol_consumption` is highly correlated with `IDV` and 2 other fields	High correlation
`Work_time` is highly correlated with `PDI` and 4 other fields	High correlation
`Corruption` is highly correlated with `New_business_density` and 5 other fields	High correlation
`Democracy` is highly correlated with `PDI` and 6 other fields	High correlation
`New_business_density` is highly correlated with `Corruption`	High correlation
`PDI` is highly correlated with `IDV` and 4 other fields	High correlation
`IDV` is highly correlated with `PDI` and 4 other fields	High correlation
`IVR` is highly correlated with `Urban_population` and 1 other fields	High correlation
`Urban_population` is highly correlated with `PDI` and 3 other fields	High correlation
`Alcohol_consumption` is highly correlated with `IDV` and 1 other fields	High correlation
`Work_time` is highly correlated with `PDI` and 5 other fields	High correlation
`Corruption` is highly correlated with `New_business_density` and 5 other fields	High correlation
`Democracy` is highly correlated with `PDI` and 4 other fields	High correlation
`PDI` is highly correlated with `IDV` and 2 other fields	High correlation
`IDV` is highly correlated with `PDI` and 1 other fields	High correlation
`Work_time` is highly correlated with `Democracy`	High correlation
`Corruption` is highly correlated with `PDI` and 1 other fields	High correlation
`Democracy` is highly correlated with `PDI` and 3 other fields	High correlation
`Alcohol` is highly correlated with `Skrót` and 1 other fields	High correlation
`Religion_2` is highly correlated with `Skrót` and 1 other fields	High correlation
`Skrót` is highly correlated with `Alcohol` and 4 other fields	High correlation
`Religion` is highly correlated with `Skrót` and 1 other fields	High correlation
`Cultural_cohesion` is highly correlated with `Skrót` and 1 other fields	High correlation
`Country` is highly correlated with `Alcohol` and 4 other fields	High correlation
`Country` is highly correlated with `Skrót` and 18 other fields	High correlation
`Skrót` is highly correlated with `Country` and 18 other fields	High correlation
`New_business_density` is highly correlated with `Country` and 4 other fields	High correlation
`PDI` is highly correlated with `Country` and 11 other fields	High correlation
`IDV` is highly correlated with `Country` and 9 other fields	High correlation
`MAS` is highly correlated with `Country` and 5 other fields	High correlation
`UAI` is highly correlated with `Country` and 9 other fields	High correlation
`LTO` is highly correlated with `Country` and 1 other fields	High correlation
`IVR` is highly correlated with `Country` and 4 other fields	High correlation
`Urban_population` is highly correlated with `Country` and 2 other fields	High correlation
`Alcohol_consumption` is highly correlated with `Country` and 5 other fields	High correlation
`Alcohol` is highly correlated with `Country` and 3 other fields	High correlation
`Cultural_cohesion` is highly correlated with `Country` and 1 other fields	High correlation
`Religion` is highly correlated with `Country` and 8 other fields	High correlation
`Religion_2` is highly correlated with `Country` and 4 other fields	High correlation
`Work_time` is highly correlated with `Country` and 7 other fields	High correlation
`Corruption` is highly correlated with `Country` and 7 other fields	High correlation
`Education` is highly correlated with `Country` and 4 other fields	High correlation
`Democracy` is highly correlated with `Country` and 8 other fields	High correlation
`Vacc` is highly correlated with `Country` and 2 other fields	High correlation
`LTO` has 2 (3.5%) missing values	Missing
`IVR` has 3 (5.3%) missing values	Missing
`Religion_2` has 11 (19.3%) missing values	Missing
`Work_time` has 5 (8.8%) missing values	Missing
`Education` has 2 (3.5%) missing values	Missing
`Country` is uniformly distributed	Uniform
`Skrót` is uniformly distributed	Uniform
`Country` has unique values	Unique
`Skrót` has unique values	Unique
`New_business_density` has unique values	Unique
`Urban_population` has unique values	Unique
`Education` has 1 (1.8%) zeros	Zeros
`Democracy` has 14 (24.6%) zeros	Zeros

Reproduction

Analysis started	2022-05-27 20:43:04.529696
Analysis finished	2022-05-27 20:43:18.223872
Duration	13.69 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

Country
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	57
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	584.0 B

Albania	1
Latvia	1
Luxembourg	1
Malaysia	1
Malta	1
Other values (52)	52

Length

Max length	22
Median length	14
Mean length	8
Min length	4

Characters and Unicode

Total characters	456
Distinct characters	45
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	57 ?
Unique (%)	100.0%

Sample

1st row	Albania
2nd row	Algeria
3rd row	Argentina
4th row	Armenia
5th row	Australia

Common Values

Value	Count	Frequency (%)
Albania	1	1.8%
Latvia	1	1.8%
Luxembourg	1	1.8%
Malaysia	1	1.8%
Malta	1	1.8%
Mexico	1	1.8%
Moldova	1	1.8%
Morocco	1	1.8%
Netherlands	1	1.8%
New Zealand	1	1.8%
Other values (47)	47	82.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
albania	1	1.6%
latvia	1	1.6%
argentina	1	1.6%
armenia	1	1.6%
australia	1	1.6%
azerbaijan	1	1.6%
bangladesh	1	1.6%
belgium	1	1.6%
bosnia	1	1.6%
and	1	1.6%
Other values (54)	54	84.4%

Most occurring characters

Value	Count	Frequency (%)
a	68	14.9%
e	38	8.3%
i	37	8.1%
n	36	7.9%
r	30	6.6%
l	27	5.9%
o	21	4.6%
d	16	3.5%
u	15	3.3%
t	14	3.1%
Other values (35)	154	33.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	386	84.6%
Uppercase Letter	63	13.8%
Space Separator	7	1.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	68	17.6%
e	38	9.8%
i	37	9.6%
n	36	9.3%
r	30	7.8%
l	27	7.0%
o	21	5.4%
d	16	4.1%
u	15	3.9%
t	14	3.6%
Other values (14)	84	21.8%

Uppercase Letter

Value	Count	Frequency (%)
S	6	9.5%
A	6	9.5%
M	5	7.9%
B	5	7.9%
P	5	7.9%
C	4	6.3%
I	4	6.3%
N	3	4.8%
U	3	4.8%
G	3	4.8%
Other values (10)	19	30.2%

Space Separator

Value	Count	Frequency (%)
	7	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	449	98.5%
Common	7	1.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	68	15.1%
e	38	8.5%
i	37	8.2%
n	36	8.0%
r	30	6.7%
l	27	6.0%
o	21	4.7%
d	16	3.6%
u	15	3.3%
t	14	3.1%
Other values (34)	147	32.7%

Common

Value	Count	Frequency (%)
	7	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	456	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	68	14.9%
e	38	8.3%
i	37	8.1%
n	36	7.9%
r	30	6.6%
l	27	5.9%
o	21	4.6%
d	16	3.5%
u	15	3.3%
t	14	3.1%
Other values (35)	154	33.8%

Skrót
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	57
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	584.0 B

ALB	1
LVA	1
LUX	1
MYS	1
MLT	1
Other values (52)	52

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	171
Distinct characters	25
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	57 ?
Unique (%)	100.0%

Sample

1st row	ALB
2nd row	DZA
3rd row	ARG
4th row	ARM
5th row	AUS

Common Values

Value	Count	Frequency (%)
ALB	1	1.8%
LVA	1	1.8%
LUX	1	1.8%
MYS	1	1.8%
MLT	1	1.8%
MEX	1	1.8%
MDA	1	1.8%
MAR	1	1.8%
NLD	1	1.8%
NZL	1	1.8%
Other values (47)	47	82.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
alb	1	1.8%
dza	1	1.8%
arg	1	1.8%
arm	1	1.8%
aus	1	1.8%
aze	1	1.8%
bgd	1	1.8%
bel	1	1.8%
bih	1	1.8%
bra	1	1.8%
Other values (47)	47	82.5%

Most occurring characters

Value	Count	Frequency (%)
R	20	11.7%
L	14	8.2%
A	14	8.2%
S	10	5.8%
E	10	5.8%
U	10	5.8%
N	9	5.3%
T	8	4.7%
B	8	4.7%
P	8	4.7%
Other values (15)	60	35.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	171	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
R	20	11.7%
L	14	8.2%
A	14	8.2%
S	10	5.8%
E	10	5.8%
U	10	5.8%
N	9	5.3%
T	8	4.7%
B	8	4.7%
P	8	4.7%
Other values (15)	60	35.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	171	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
R	20	11.7%
L	14	8.2%
A	14	8.2%
S	10	5.8%
E	10	5.8%
U	10	5.8%
N	9	5.3%
T	8	4.7%
B	8	4.7%
P	8	4.7%
Other values (15)	60	35.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	171	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
R	20	11.7%
L	14	8.2%
A	14	8.2%
S	10	5.8%
E	10	5.8%
U	10	5.8%
N	9	5.3%
T	8	4.7%
B	8	4.7%
P	8	4.7%
Other values (15)	60	35.1%

New_business_density
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	57
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.005301409

Minimum	0.04129152124
Maximum	23.59313375
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	584.0 B

Quantile statistics

Minimum	0.04129152124
5-th percentile	0.2717950119
Q1	1.420295093
median	3.259612362
Q3	7.129563049
95-th percentile	17.25402195
Maximum	23.59313375
Range	23.55184223
Interquartile range (IQR)	5.709267956

Descriptive statistics

Standard deviation	5.297913427
Coefficient of variation (CV)	1.058460419
Kurtosis	2.466382752
Mean	5.005301409
Median Absolute Deviation (MAD)	2.132107388
Skewness	1.6666942
Sum	285.3021803
Variance	28.06788668
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.52098682	1	1.8%
8.005012059	1	1.8%
17.19631182	1	1.8%
2.366084109	1	1.8%
17.48486248	1	1.8%
1.004070385	1	1.8%
1.863159275	1	1.8%
1.904285719	1	1.8%
6.416649578	1	1.8%
17.83820451	1	1.8%
Other values (47)	47	82.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.04129152124	1	1.8%
0.1372408394	1	1.8%
0.1986299336	1	1.8%
0.2900862815	1	1.8%
0.3532966189	1	1.8%
0.3869567202	1	1.8%
0.5277483497	1	1.8%
0.5660099793	1	1.8%
1.004070385	1	1.8%
1.090718654	1	1.8%

Value	Count	Frequency (%)
23.59313375	1	1.8%
17.83820451	1	1.8%
17.48486248	1	1.8%
17.19631182	1	1.8%
15.64505299	1	1.8%
14.47216788	1	1.8%
10.31392033	1	1.8%
10.10155286	1	1.8%
10.01078847	1	1.8%
10.00963016	1	1.8%

PDI
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	41
Distinct (%)	71.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	61.84210526

Minimum	13
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	584.0 B

Quantile statistics

Minimum	13
5-th percentile	26.8
Q1	42
median	64
Q3	80
95-th percentile	94.2
Maximum	100
Range	87
Interquartile range (IQR)	38

Descriptive statistics

Standard deviation	22.66431231
Coefficient of variation (CV)	0.3664867523
Kurtosis	-0.9003937637
Mean	61.84210526
Median Absolute Deviation (MAD)	20
Skewness	-0.2229601058
Sum	3525
Variance	513.6710526
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=41)

Value	Count	Frequency (%)
90	4	7.0%
57	2	3.5%
80	2	3.5%
95	2	3.5%
31	2	3.5%
35	2	3.5%
68	2	3.5%
64	2	3.5%
40	2	3.5%
66	2	3.5%
Other values (31)	35	61.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
13	1	1.8%
18	1	1.8%
22	1	1.8%
28	1	1.8%
31	2	3.5%
33	1	1.8%
34	1	1.8%
35	2	3.5%
38	2	3.5%
40	2	3.5%

Value	Count	Frequency (%)
100	1	1.8%
95	2	3.5%
94	1	1.8%
93	1	1.8%
92	1	1.8%
90	4	7.0%
86	1	1.8%
85	2	3.5%
81	1	1.8%
80	2	3.5%

IDV
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	39
Distinct (%)	68.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	45.24561404

Minimum	6
Maximum	90
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	584.0 B

Quantile statistics

Minimum	6
5-th percentile	15.4
Q1	25
median	39
Q3	67
95-th percentile	80
Maximum	90
Range	84
Interquartile range (IQR)	42

Descriptive statistics

Standard deviation	22.83111966
Coefficient of variation (CV)	0.5046040406
Kurtosis	-1.208308116
Mean	45.24561404
Median Absolute Deviation (MAD)	19
Skewness	0.2393900966
Sum	2579
Variance	521.2600251
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=39)

Value	Count	Frequency (%)
20	4	7.0%
60	4	7.0%
46	3	5.3%
22	3	5.3%
30	3	5.3%
25	2	3.5%
27	2	3.5%
70	2	3.5%
35	2	3.5%
71	2	3.5%
Other values (29)	30	52.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
6	1	1.8%
11	1	1.8%
13	1	1.8%
16	1	1.8%
19	1	1.8%
20	4	7.0%
22	3	5.3%
23	1	1.8%
25	2	3.5%
26	1	1.8%

Value	Count	Frequency (%)
90	1	1.8%
89	1	1.8%
80	2	3.5%
79	1	1.8%
76	1	1.8%
75	1	1.8%
74	1	1.8%
71	2	3.5%
70	2	3.5%
69	1	1.8%

MAS
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	41
Distinct (%)	71.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	46.71929825

Minimum	5
Maximum	95
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	584.0 B

Quantile statistics

Minimum	5
5-th percentile	13
Q1	37
median	47
Q3	57
95-th percentile	72
Maximum	95
Range	90
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	18.78806079
Coefficient of variation (CV)	0.4021477524
Kurtosis	0.3198733475
Mean	46.71929825
Median Absolute Deviation (MAD)	10
Skewness	-0.01292664537
Sum	2663
Variance	352.9912281
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=41)

Value	Count	Frequency (%)
50	4	7.0%
40	3	5.3%
64	3	5.3%
42	3	5.3%
57	2	3.5%
43	2	3.5%
56	2	3.5%
70	2	3.5%
47	2	3.5%
48	2	3.5%
Other values (31)	32	56.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	1	1.8%
8	1	1.8%
9	1	1.8%
14	1	1.8%
16	1	1.8%
19	1	1.8%
26	1	1.8%
27	1	1.8%
28	1	1.8%
30	1	1.8%

Value	Count	Frequency (%)
95	1	1.8%
88	1	1.8%
80	1	1.8%
70	2	3.5%
69	1	1.8%
68	1	1.8%
66	2	3.5%
64	3	5.3%
61	1	1.8%
58	1	1.8%

UAI
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	38
Distinct (%)	66.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	72.56140351

Minimum	8
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	584.0 B

Quantile statistics

Minimum	8
5-th percentile	33.8
Q1	60
median	80
Q3	88
95-th percentile	98
Maximum	100
Range	92
Interquartile range (IQR)	28

Descriptive statistics

Standard deviation	22.03407875
Coefficient of variation (CV)	0.3036611434
Kurtosis	0.2066676275
Mean	72.56140351
Median Absolute Deviation (MAD)	14
Skewness	-0.9354320599
Sum	4136
Variance	485.5006266
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=38)

Value	Count	Frequency (%)
86	5	8.8%
70	3	5.3%
95	3	5.3%
35	2	3.5%
98	2	3.5%
65	2	3.5%
92	2	3.5%
80	2	3.5%
85	2	3.5%
87	2	3.5%
Other values (28)	32	56.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
8	1	1.8%
23	1	1.8%
29	1	1.8%
35	2	3.5%
36	1	1.8%
40	1	1.8%
44	1	1.8%
49	1	1.8%
50	1	1.8%
51	1	1.8%

Value	Count	Frequency (%)
100	1	1.8%
99	1	1.8%
98	2	3.5%
96	1	1.8%
95	3	5.3%
94	2	3.5%
93	1	1.8%
92	2	3.5%
90	1	1.8%
88	2	3.5%

LTO
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	38
Distinct (%)	69.1%
Missing	2
Missing (%)	3.5%
Infinite	0
Infinite (%)	0.0%
Mean	50.14545455

Minimum	13
Maximum	88
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	584.0 B

Quantile statistics

Minimum	13
5-th percentile	20
Q1	32.5
median	51
Q3	68
95-th percentile	82.3
Maximum	88
Range	75
Interquartile range (IQR)	35.5

Descriptive statistics

Standard deviation	20.92881956
Coefficient of variation (CV)	0.4173622465
Kurtosis	-1.079980211
Mean	50.14545455
Median Absolute Deviation (MAD)	18
Skewness	0.05715548033
Sum	2758
Variance	438.0154882
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=38)

Value	Count	Frequency (%)
61	4	7.0%
82	3	5.3%
38	3	5.3%
58	2	3.5%
52	2	3.5%
26	2	3.5%
51	2	3.5%
35	2	3.5%
24	2	3.5%
69	2	3.5%
Other values (28)	31	54.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
13	1	1.8%
14	1	1.8%
20	2	3.5%
21	1	1.8%
24	2	3.5%
25	1	1.8%
26	2	3.5%
27	1	1.8%
28	1	1.8%
31	1	1.8%

Value	Count	Frequency (%)
88	1	1.8%
86	1	1.8%
83	1	1.8%
82	3	5.3%
81	1	1.8%
74	1	1.8%
72	1	1.8%
71	1	1.8%
70	2	3.5%
69	2	3.5%

IVR
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	40
Distinct (%)	74.1%
Missing	3
Missing (%)	5.3%
Infinite	0
Infinite (%)	0.0%
Mean	44.98148148

Minimum	13
Maximum	97
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	584.0 B

Quantile statistics

Minimum	13
5-th percentile	15.65
Q1	26.5
median	44.5
Q3	61.25
95-th percentile	79.75
Maximum	97
Range	84
Interquartile range (IQR)	34.75

Descriptive statistics

Standard deviation	21.68252121
Coefficient of variation (CV)	0.4820321718
Kurtosis	-0.7595639394
Mean	44.98148148
Median Absolute Deviation (MAD)	18
Skewness	0.3296611421
Sum	2429
Variance	470.1317261
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
16	3	5.3%
20	3	5.3%
57	3	5.3%
29	2	3.5%
33	2	3.5%
42	2	3.5%
68	2	3.5%
44	2	3.5%
66	2	3.5%
25	2	3.5%
Other values (30)	31	54.4%
(Missing)	3	5.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
13	1	1.8%
14	1	1.8%
15	1	1.8%
16	3	5.3%
19	1	1.8%
20	3	5.3%
22	1	1.8%
25	2	3.5%
26	1	1.8%
28	1	1.8%

Value	Count	Frequency (%)
97	1	1.8%
89	1	1.8%
83	1	1.8%
78	1	1.8%
75	1	1.8%
71	1	1.8%
70	1	1.8%
69	1	1.8%
68	2	3.5%
66	2	3.5%

Urban_population
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	57
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	72.95173684

Minimum	34.03
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	584.0 B

Quantile statistics

Minimum	34.03
5-th percentile	46.0514
Q1	63.149
median	74.433
Q3	86.012
95-th percentile	94.7564
Maximum	100
Range	65.97
Interquartile range (IQR)	22.863

Descriptive statistics

Standard deviation	15.81173045
Coefficient of variation (CV)	0.2167423441
Kurtosis	-0.3090373055
Mean	72.95173684
Median Absolute Deviation (MAD)	11.579
Skewness	-0.4995096144
Sum	4158.249
Variance	250.0108197
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
60.319	1	1.8%
68.142	1	1.8%
90.981	1	1.8%
76.036	1	1.8%
94.612	1	1.8%
80.156	1	1.8%
42.629	1	1.8%
62.453	1	1.8%
91.49	1	1.8%
86.538	1	1.8%
Other values (47)	47	82.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
34.03	1	1.8%
36.632	1	1.8%
42.629	1	1.8%
46.907	1	1.8%
48.245	1	1.8%
49.949	1	1.8%
51.054	1	1.8%
53.998	1	1.8%
55.68	1	1.8%
56.092	1	1.8%

Value	Count	Frequency (%)
100	1	1.8%
98.001	1	1.8%
95.334	1	1.8%
94.612	1	1.8%
92.418	1	1.8%
91.87	1	1.8%
91.616	1	1.8%
91.49	1	1.8%
90.981	1	1.8%
87.874	1	1.8%

Alcohol_consumption
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	56
Distinct (%)	98.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.391035088

Minimum	0.019
Maximum	14.45
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	584.0 B

Quantile statistics

Minimum	0.019
5-th percentile	0.93
Q1	6.38
median	8.93
Q3	11.43
95-th percentile	12.916
Maximum	14.45
Range	14.431
Interquartile range (IQR)	5.05

Descriptive statistics

Standard deviation	3.703530362
Coefficient of variation (CV)	0.4413675218
Kurtosis	-0.4245339106
Mean	8.391035088
Median Absolute Deviation (MAD)	2.52
Skewness	-0.624320832
Sum	478.289
Variance	13.71613714
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9.23	2	3.5%
7.17	1	1.8%
11.71	1	1.8%
0.85	1	1.8%
7.99	1	1.8%
5	1	1.8%
11.43	1	1.8%
0.69	1	1.8%
9.61	1	1.8%
10.63	1	1.8%
Other values (46)	46	80.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.019	1	1.8%
0.69	1	1.8%
0.85	1	1.8%
0.95	1	1.8%
2.03	1	1.8%
2.05	1	1.8%
2.45	1	1.8%
3.89	1	1.8%
4.21	1	1.8%
4.41	1	1.8%

Value	Count	Frequency (%)
14.45	1	1.8%
13.22	1	1.8%
12.94	1	1.8%
12.91	1	1.8%
12.88	1	1.8%
12.77	1	1.8%
12.72	1	1.8%
12.65	1	1.8%
12.33	1	1.8%
12.03	1	1.8%

Alcohol
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	5.3%
Missing	0
Missing (%)	0.0%
Memory size	584.0 B

Beer	34
Wine	12
Vodka	11

Length

Max length	5
Median length	4
Mean length	4.192982456
Min length	4

Characters and Unicode

Total characters	239
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Vodka
2nd row	Beer
3rd row	Wine
4th row	Vodka
5th row	Beer

Common Values

Value	Count	Frequency (%)
Beer	34	59.6%
Wine	12	21.1%
Vodka	11	19.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
beer	34	59.6%
wine	12	21.1%
vodka	11	19.3%

Most occurring characters

Value	Count	Frequency (%)
e	80	33.5%
B	34	14.2%
r	34	14.2%
W	12	5.0%
i	12	5.0%
n	12	5.0%
V	11	4.6%
o	11	4.6%
d	11	4.6%
k	11	4.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	182	76.2%
Uppercase Letter	57	23.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	80	44.0%
r	34	18.7%
i	12	6.6%
n	12	6.6%
o	11	6.0%
d	11	6.0%
k	11	6.0%
a	11	6.0%

Uppercase Letter

Value	Count	Frequency (%)
B	34	59.6%
W	12	21.1%
V	11	19.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	239	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	80	33.5%
B	34	14.2%
r	34	14.2%
W	12	5.0%
i	12	5.0%
n	12	5.0%
V	11	4.6%
o	11	4.6%
d	11	4.6%
k	11	4.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	239	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	80	33.5%
B	34	14.2%
r	34	14.2%
W	12	5.0%
i	12	5.0%
n	12	5.0%
V	11	4.6%
o	11	4.6%
d	11	4.6%
k	11	4.6%

Cultural_cohesion
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	3.5%
Missing	0
Missing (%)	0.0%
Memory size	584.0 B

Multicultural	47
Monoculture	10

Length

Max length	13
Median length	13
Mean length	12.64912281
Min length	11

Characters and Unicode

Total characters	721
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Monoculture
2nd row	Monoculture
3rd row	Monoculture
4th row	Multicultural
5th row	Multicultural

Common Values

Value	Count	Frequency (%)
Multicultural	47	82.5%
Monoculture	10	17.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
multicultural	47	82.5%
monoculture	10	17.5%

Most occurring characters

Value	Count	Frequency (%)
u	161	22.3%
l	151	20.9%
t	104	14.4%
M	57	7.9%
c	57	7.9%
r	57	7.9%
i	47	6.5%
a	47	6.5%
o	20	2.8%
n	10	1.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	664	92.1%
Uppercase Letter	57	7.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
u	161	24.2%
l	151	22.7%
t	104	15.7%
c	57	8.6%
r	57	8.6%
i	47	7.1%
a	47	7.1%
o	20	3.0%
n	10	1.5%
e	10	1.5%

Uppercase Letter

Value	Count	Frequency (%)
M	57	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	721	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
u	161	22.3%
l	151	20.9%
t	104	14.4%
M	57	7.9%
c	57	7.9%
r	57	7.9%
i	47	6.5%
a	47	6.5%
o	20	2.8%
n	10	1.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	721	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
u	161	22.3%
l	151	20.9%
t	104	14.4%
M	57	7.9%
c	57	7.9%
r	57	7.9%
i	47	6.5%
a	47	6.5%
o	20	2.8%
n	10	1.4%

Religion
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	6
Distinct (%)	10.5%
Missing	0
Missing (%)	0.0%
Memory size	584.0 B

Roman Catholic	24
Orthodox Christianity	9
Islam	8
Evangelical Church	6
Irreligion	5

Length

Max length	21
Median length	18
Mean length	13.12280702
Min length	5

Characters and Unicode

Total characters	748
Distinct characters	24
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Islam
2nd row	Islam
3rd row	Roman Catholic
4th row	Orthodox Christianity
5th row	Evangelical Church

Common Values

Value	Count	Frequency (%)
Roman Catholic	24	42.1%
Orthodox Christianity	9	15.8%
Islam	8	14.0%
Evangelical Church	6	10.5%
Irreligion	5	8.8%
Other	5	8.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
roman	24	25.0%
catholic	24	25.0%
orthodox	9	9.4%
christianity	9	9.4%
islam	8	8.3%
evangelical	6	6.2%
church	6	6.2%
irreligion	5	5.2%
other	5	5.2%

Most occurring characters

Value	Count	Frequency (%)
a	77	10.3%
o	71	9.5%
i	67	9.0%
h	59	7.9%
t	56	7.5%
l	49	6.6%
n	44	5.9%
	39	5.2%
C	39	5.2%
r	39	5.2%
Other values (14)	208	27.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	613	82.0%
Uppercase Letter	96	12.8%
Space Separator	39	5.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	77	12.6%
o	71	11.6%
i	67	10.9%
h	59	9.6%
t	56	9.1%
l	49	8.0%
n	44	7.2%
r	39	6.4%
c	36	5.9%
m	32	5.2%
Other values (8)	83	13.5%

Uppercase Letter

Value	Count	Frequency (%)
C	39	40.6%
R	24	25.0%
O	14	14.6%
I	13	13.5%
E	6	6.2%

Space Separator

Value	Count	Frequency (%)
	39	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	709	94.8%
Common	39	5.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	77	10.9%
o	71	10.0%
i	67	9.4%
h	59	8.3%
t	56	7.9%
l	49	6.9%
n	44	6.2%
C	39	5.5%
r	39	5.5%
c	36	5.1%
Other values (13)	172	24.3%

Common

Value	Count	Frequency (%)
	39	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	748	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	77	10.3%
o	71	9.5%
i	67	9.0%
h	59	7.9%
t	56	7.5%
l	49	6.6%
n	44	5.9%
	39	5.2%
C	39	5.2%
r	39	5.2%
Other values (14)	208	27.8%

Religion_2
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	6
Distinct (%)	13.0%
Missing	11
Missing (%)	19.3%
Memory size	584.0 B

Irreligion	23
Evangelical Church	7
Roman Catholic	6
Other	5
Islam	3

Length

Max length	21
Median length	19.5
Mean length	11.34782609
Min length	5

Characters and Unicode

Total characters	522
Distinct characters	24
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Roman Catholic
2nd row	Irreligion
3rd row	Irreligion
4th row	Other
5th row	Irreligion

Common Values

Value	Count	Frequency (%)
Irreligion	23	40.4%
Evangelical Church	7	12.3%
Roman Catholic	6	10.5%
Other	5	8.8%
Islam	3	5.3%
Orthodox Christianity	2	3.5%
(Missing)	11	19.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
irreligion	23	37.7%
evangelical	7	11.5%
church	7	11.5%
roman	6	9.8%
catholic	6	9.8%
other	5	8.2%
islam	3	4.9%
orthodox	2	3.3%
christianity	2	3.3%

Most occurring characters

Value	Count	Frequency (%)
i	65	12.5%
r	62	11.9%
l	46	8.8%
o	39	7.5%
n	38	7.3%
e	35	6.7%
a	31	5.9%
g	30	5.7%
h	29	5.6%
I	26	5.0%
Other values (14)	121	23.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	446	85.4%
Uppercase Letter	61	11.7%
Space Separator	15	2.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	65	14.6%
r	62	13.9%
l	46	10.3%
o	39	8.7%
n	38	8.5%
e	35	7.8%
a	31	7.0%
g	30	6.7%
h	29	6.5%
c	20	4.5%
Other values (8)	51	11.4%

Uppercase Letter

Value	Count	Frequency (%)
I	26	42.6%
C	15	24.6%
E	7	11.5%
O	7	11.5%
R	6	9.8%

Space Separator

Value	Count	Frequency (%)
	15	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	507	97.1%
Common	15	2.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	65	12.8%
r	62	12.2%
l	46	9.1%
o	39	7.7%
n	38	7.5%
e	35	6.9%
a	31	6.1%
g	30	5.9%
h	29	5.7%
I	26	5.1%
Other values (13)	106	20.9%

Common

Value	Count	Frequency (%)
	15	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	522	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	65	12.5%
r	62	11.9%
l	46	8.8%
o	39	7.5%
n	38	7.3%
e	35	6.7%
a	31	5.9%
g	30	5.7%
h	29	5.6%
I	26	5.0%
Other values (14)	121	23.2%

Work_time
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	52
Distinct (%)	100.0%
Missing	5
Missing (%)	8.8%
Infinite	0
Infinite (%)	0.0%
Mean	1850.069231

Minimum	1353.89
Maximum	2255
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	584.0 B

Quantile statistics

Minimum	1353.89
5-th percentile	1424.3725
Q1	1682.4425
median	1850.35
Q3	2031.3825
95-th percentile	2237.8515
Maximum	2255
Range	901.11
Interquartile range (IQR)	348.94

Descriptive statistics

Standard deviation	247.2139262
Coefficient of variation (CV)	0.1336241488
Kurtosis	-0.8572027812
Mean	1850.069231
Median Absolute Deviation (MAD)	179.115
Skewness	-0.1032938746
Sum	96203.6
Variance	61114.72532
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2113.65	1	1.8%
1932.46	1	1.8%
1874.6	1	1.8%
1844.02	1	1.8%
1518.86	1	1.8%
2238.27	1	1.8%
2040.03	1	1.8%
2255	1	1.8%
1952.39	1	1.8%
1430.02	1	1.8%
Other values (42)	42	73.7%
(Missing)	5	8.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1353.89	1	1.8%
1400.38	1	1.8%
1417.47	1	1.8%
1430.02	1	1.8%
1514.14	1	1.8%
1518.86	1	1.8%
1544.27	1	1.8%
1552.35	1	1.8%
1589.68	1	1.8%
1609.29	1	1.8%

Value	Count	Frequency (%)
2255	1	1.8%
2238.27	1	1.8%
2238	1	1.8%
2237.73	1	1.8%
2232.35	1	1.8%
2185.45	1	1.8%
2165.4	1	1.8%
2148.56	1	1.8%
2141.94	1	1.8%
2117.01	1	1.8%

Corruption
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	40
Distinct (%)	70.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	54.63157895

Minimum	26
Maximum	90
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	584.0 B

Quantile statistics

Minimum	26
5-th percentile	31.2
Q1	36
median	49
Q3	72
95-th percentile	87.2
Maximum	90
Range	64
Interquartile range (IQR)	36

Descriptive statistics

Standard deviation	20.19337902
Coefficient of variation (CV)	0.3696283251
Kurtosis	-1.274577515
Mean	54.63157895
Median Absolute Deviation (MAD)	15
Skewness	0.4045000333
Sum	3114
Variance	407.7725564
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
34	4	7.0%
36	4	7.0%
49	3	5.3%
38	3	5.3%
43	2	3.5%
87	2	3.5%
90	2	3.5%
72	2	3.5%
33	2	3.5%
42	2	3.5%
Other values (30)	31	54.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
26	1	1.8%
27	1	1.8%
28	1	1.8%
32	1	1.8%
33	2	3.5%
34	4	7.0%
35	1	1.8%
36	4	7.0%
37	1	1.8%
38	3	5.3%

Value	Count	Frequency (%)
90	2	3.5%
88	1	1.8%
87	2	3.5%
86	1	1.8%
85	2	3.5%
84	1	1.8%
80	1	1.8%
79	1	1.8%
75	1	1.8%
74	1	1.8%

Education
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	55
Distinct (%)	100.0%
Missing	2
Missing (%)	3.5%
Infinite	0
Infinite (%)	0.0%
Mean	12.16254545

Minimum	0
Maximum	29.71
Zeros	1
Zeros (%)	1.8%
Negative	0
Negative (%)	0.0%
Memory size	584.0 B

Quantile statistics

Minimum	0
5-th percentile	2.693
Q1	6.265
median	12.27
Q3	15.615
95-th percentile	24.607
Maximum	29.71
Range	29.71
Interquartile range (IQR)	9.35

Descriptive statistics

Standard deviation	6.827688514
Coefficient of variation (CV)	0.5613700306
Kurtosis	-0.2611133336
Mean	12.16254545
Median Absolute Deviation (MAD)	5.61
Skewness	0.386337614
Sum	668.94
Variance	46.61733044
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.93	1	1.8%
11.37	1	1.8%
5.81	1	1.8%
10.52	1	1.8%
9.81	1	1.8%
8.76	1	1.8%
5.35	1	1.8%
15.63	1	1.8%
15.5	1	1.8%
12.16	1	1.8%
Other values (45)	45	78.9%
(Missing)	2	3.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	1.8%
0.93	1	1.8%
2.28	1	1.8%
2.87	1	1.8%
3.26	1	1.8%
3.5	1	1.8%
3.92	1	1.8%
4.85	1	1.8%
5.28	1	1.8%
5.35	1	1.8%

Value	Count	Frequency (%)
29.71	1	1.8%
26.8	1	1.8%
24.74	1	1.8%
24.55	1	1.8%
22.5	1	1.8%
20.26	1	1.8%
18.91	1	1.8%
18.87	1	1.8%
18.55	1	1.8%
18.54	1	1.8%

Democracy
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	29
Distinct (%)	50.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	40.87719298

Minimum	0
Maximum	170
Zeros	14
Zeros (%)	24.6%
Negative	0
Negative (%)	0.0%
Memory size	584.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	9
median	29
Q3	70
95-th percentile	107.2
Maximum	170
Range	170
Interquartile range (IQR)	61

Descriptive statistics

Standard deviation	40.49341665
Coefficient of variation (CV)	0.9906114803
Kurtosis	1.647036159
Mean	40.87719298
Median Absolute Deviation (MAD)	29
Skewness	1.291554555
Sum	2330
Variance	1639.716792
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
0	14	24.6%
29	5	8.8%
28	4	7.0%
73	4	7.0%
72	3	5.3%
70	2	3.5%
97	2	3.5%
22	2	3.5%
41	1	1.8%
67	1	1.8%
Other values (19)	19	33.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	14	24.6%
9	1	1.8%
14	1	1.8%
18	1	1.8%
19	1	1.8%
20	1	1.8%
22	2	3.5%
23	1	1.8%
26	1	1.8%
28	4	7.0%

Value	Count	Frequency (%)
170	1	1.8%
161	1	1.8%
132	1	1.8%
101	1	1.8%
100	1	1.8%
97	2	3.5%
73	4	7.0%
72	3	5.3%
70	2	3.5%
67	1	1.8%

Vacc
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	38
Distinct (%)	66.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	68.77175439

Minimum	27.61
Maximum	91.76
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	584.0 B

Quantile statistics

Minimum	27.61
5-th percentile	34.55
Q1	66.3
median	72.22
Q3	78.81
95-th percentile	83.582
Maximum	91.76
Range	64.15
Interquartile range (IQR)	12.51

Descriptive statistics

Standard deviation	15.50409567
Coefficient of variation (CV)	0.2254427826
Kurtosis	1.219954864
Mean	68.77175439
Median Absolute Deviation (MAD)	6.59
Skewness	-1.371449566
Sum	3919.99
Variance	240.3769826
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=38)

Value	Count	Frequency (%)
69.6	8	14.0%
75.03	4	7.0%
78.81	3	5.3%
83.28	3	5.3%
38.05	2	3.5%
51.19	2	3.5%
66.3	2	3.5%
27.61	2	3.5%
78.3	2	3.5%
72.22	1	1.8%
Other values (28)	28	49.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
27.61	2	3.5%
28.91	1	1.8%
35.96	1	1.8%
38.05	2	3.5%
43.53	1	1.8%
50.53	1	1.8%
51.19	2	3.5%
62.15	1	1.8%
64.22	1	1.8%
64.49	1	1.8%

Value	Count	Frequency (%)
91.76	1	1.8%
87.07	1	1.8%
84.19	1	1.8%
83.43	1	1.8%
83.28	3	5.3%
83.23	1	1.8%
81.6	1	1.8%
80.86	1	1.8%
80.4	1	1.8%
79.76	1	1.8%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	Country	Skrót	New_business_density	PDI	IDV	MAS	UAI	LTO	IVR	Urban_population	Alcohol_consumption	Alcohol	Cultural_cohesion	Religion	Religion_2	Work_time	Corruption	Education	Democracy	Vacc
0	Albania	ALB	1.52	90	20	80	70	61.00	15.00	60.32	7.17	Vodka	Monoculture	Islam	Roman Catholic	2113.65	33	0.93	14	43.53
1	Algeria	DZA	0.35	80	35	35	70	26.00	32.00	72.63	0.95	Beer	Monoculture	Islam	NaN	2165.40	34	6.66	0	83.28
2	Argentina	ARG	0.20	49	46	56	86	20.00	62.00	91.87	9.65	Wine	Monoculture	Roman Catholic	Irreligion	1691.54	35	2.87	35	87.07
3	Armenia	ARM	3.05	85	22	50	88	61.00	25.00	63.15	5.55	Vodka	Multicultural	Orthodox Christianity	NaN	1977.25	34	15.03	0	35.96
4	Australia	AUS	14.47	38	90	61	51	21.00	71.00	86.01	10.51	Beer	Multicultural	Evangelical Church	Irreligion	1731.49	85	18.52	161	84.19
5	Azerbaijan	AZE	1.66	85	22	50	88	61.00	22.00	55.68	4.41	Beer	Multicultural	Islam	NaN	1916.69	27	NaN	0	51.19
6	Bangladesh	BGD	0.04	80	20	55	60	47.00	20.00	36.63	0.02	Beer	Monoculture	Islam	Other	2232.35	26	2.28	0	62.15
7	Belgium	BEL	3.37	65	75	54	94	82.00	57.00	98.00	11.08	Beer	Multicultural	Roman Catholic	Irreligion	1544.27	75	17.69	72	51.19
8	Bosnia and Herzegovina	BIH	1.09	90	22	48	87	70.00	44.00	48.24	7.15	Beer	Multicultural	Islam	Orthodox Christianity	2141.94	42	NaN	22	28.91
9	Brazil	BRA	1.29	69	38	49	76	44.00	59.00	86.57	7.42	Beer	Multicultural	Roman Catholic	Evangelical Church	1709.49	43	5.63	32	27.61

Last rows

	Country	Skrót	New_business_density	PDI	IDV	MAS	UAI	LTO	IVR	Urban_population	Alcohol_consumption	Alcohol	Cultural_cohesion	Religion	Religion_2	Work_time	Corruption	Education	Democracy	Vacc
47	Serbia	SRB	1.88	86	25	43	92	52.00	28.00	56.09	8.75	Wine	Multicultural	Orthodox Christianity	NaN	NaN	39	8.97	0	69.60
48	Singapore	SGP	10.01	74	20	48	8	72.00	46.00	100.00	2.03	Beer	Multicultural	Other	Irreligion	2237.73	87	29.71	0	69.60
49	Spain	ESP	3.07	57	51	42	86	48.00	44.00	80.32	12.72	Beer	Multicultural	Roman Catholic	Irreligion	1686.50	65	14.96	41	83.28
50	Sweden	SWE	7.18	31	71	5	29	53.00	78.00	87.43	8.93	Wine	Multicultural	Evangelical Church	Irreligion	1609.29	88	14.93	97	69.60
51	Switzerland	CHE	4.53	34	68	70	58	74.00	66.00	73.80	11.53	Wine	Multicultural	Roman Catholic	Irreligion	1589.68	86	17.88	170	27.61
52	Thailand	THA	1.13	64	20	34	64	32.00	45.00	49.95	8.30	Vodka	Multicultural	Other	NaN	2185.45	37	10.47	0	74.91
53	Turkey	TUR	1.56	66	37	45	85	46.00	49.00	75.14	2.05	Beer	Multicultural	Islam	Irreligion	1832.00	49	5.28	0	67.54
54	Ukraine	UKR	1.68	92	25	27	95	86.00	14.00	69.35	8.32	Vodka	Multicultural	Orthodox Christianity	Roman Catholic	NaN	32	24.55	0	76.79
55	United Kingdom	GBR	15.65	35	89	66	35	51.00	69.00	83.40	11.45	Beer	Multicultural	Other	Irreligion	1670.27	74	15.31	100	75.20
56	Uruguay	URY	1.26	61	36	38	98	26.00	53.00	95.33	6.92	Wine	Multicultural	Roman Catholic	Irreligion	1552.35	72	3.50	34	83.43

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter